Optimized routing design for wireless mesh networks based on neural network

Authors:
Bo Liu;Jianling Gao;Xiaoyao Xie
Affiliations:
The Information Center, Guizhou University, Guiyang, China;The Information Center, Guizhou University, Guiyang, China;The Key Laboratory of Information and Computing Science of Guizhou Province, GZNU, Guiyang, China
Venue:
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
Year:
2009

Citing 9
Cited 0

A modeling language for mathematical programming

Management Science
Neural network based optimal routing algorithm for communication networks

Neural Networks
Performance of multihop wireless networks: shortest path is not enough

ACM SIGCOMM Computer Communication Review
Routing, Flow, and Capacity Design in Communication and Computer Networks

Routing, Flow, and Capacity Design in Communication and Computer Networks
Optimizing the Placement of Internet TAPs in Wireless Neighborhood Networks

ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Optimization models for the radio planning of wireless mesh networks

NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Wireless network design: solution-oriented modeling and mathematical optimization

IEEE Wireless Communications
Throughput-range tradeoff of wireless mesh backhaul networks

IEEE Journal on Selected Areas in Communications
Gateway Placement Optimization in Wireless Mesh Networks With QoS Constraints

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Has the same problems as the traditional wireless LAN, wireless mesh networks (WMN) is anticipated to resolve the limitations and to significantly improve the performance of ad hoc network. In fact, differs from that of planning other wireless networks, such as cellular systems WLAN, design such a WMN to cover in a given region can be a non-trivial task. To solve the optimization problem of routing algorithm is effectively and significantly. This paper presents the capability of the neural networks (NN) as a computational tool for solving constrained optimization problem, arising in routing algorithms for WMN. Then we used the method to design WMN in a campus of Guizhou University.